Origins and career patterns of the qing government officials (1850-1912) : evidence from the China Government Employee Dataset-Qing (CGED-Q)

Chen, Bijia

doi:10.14711/thesis-991012812669303412

Cited by 4 publications

(6 citation statements)

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“…37 Analysis of the CGED-Q has already yielded insights into Qing officialdom and the careers of officials not available from traditional approaches to the study of the Qing civil service which emphasize case studies of individuals or offices, or specific time periods. Ren et al (2016), Chen (2019) and Chen et al (2020) show that the central government, especially its upper reaches, were dominated by Manchu and other bannermen right up to the end of the Qing. Only a relatively small share of Han who qualified by their civil service examination performance served in the central government largely confined to the Hanlin Academy and related offices.…”

Section: Chinamentioning

confidence: 99%

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2023

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Over the last 60 years several major historical databases with reconstructed life courses of large populations spanning decades have been launched. The development of these databases is indicative of considerable investments that have greatly expanded the possibilities for new research within the fields of history, demography, sociology, as well as other disciplines. In this volume spanning seven articles, eight databases are included that have had a wide impact on research in various disciplines. Each database had its own unique genesis that is well described in the articles assembled in this volume. They inform readers about how these databases have changed the course of research in historical demography and related disciplines, how settled findings were challenged or confirmed, and how innovative investigations were launched and implemented. In the end we explore how research with this kind of databases will develop in future.

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Section: Chinamentioning

confidence: 99%

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2023

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“…Bijia Chen joined the project in 2015 while she was an MPhil student in Social Science at HKUST. She played a key role in the coordination of the data entry and then wrote her PhD dissertation on the careers of Qing officials (Chen, 2019).…”

Section: Phase 3 -The Expansion 2009-presentmentioning

confidence: 99%

“…Analysis of the CGED-Q has already yielded insights into Qing officialdom and the careers of officials not available from traditional approaches to the study of the Qing civil service which emphasize case studies of individuals or offices, or specific time periods. Ren et al (2016), Chen (2019) and Chen et al (2020) show that the central government, especially its upper reaches, were dominated by Manchu and other bannermen right up to the end of the Qing. Only a relatively small share of Han who qualified by their civil service examination performance served in the central government largely confined to the Hanlin Academy and related offices.…”

Section: Chinamentioning

confidence: 99%

Historical Chinese Microdata. 40 Years of Dataset Construction by the Lee-Campbell Research Group

Campbell¹,

Lee²

2020

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The Lee-Campbell Group has spent forty years constructing and analysing individual-level datasets based largely on Chinese archival materials to produce a scholarship of discovery. Initially, we constructed datasets for the study of Chinese demographic behaviour, households, kin networks, and socioeconomic attainment. More recently, we have turned to the construction and analysis of datasets on civil and military officials and other educational and professional elites, especially their social origins and their careers. As of July 2020, the datasets include nominative information on the behaviour and life outcomes of approximately two million individuals. This article is a retrospective on the construction of these datasets and a summary of their findings. This is the first time we have presented all our projects together and discussed them and the results of our analysis as a single integrated whole. We begin by summarizing the contents, organization, and notable features of each dataset and provide an integrated history of our data construction, starting in 1979 up to the present. We then summarize the most important results from our research on demographic behaviour, family, and household organization, and more recently inequality and stratification. We conclude with a reflection on the importance of data discovery, flexibility, interaction and collaboration to the success of our efforts.

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“…We arrived at the approach we describe here iteratively, building on experience analyzing career histories in the CGED-Q JSL in a series of publications on appointment, promotion, and exit of Qing officials (Campbell, 2020;Chen, Campbell, & Lee, 2018;Hu, Chen, & Campbell, 2020;Hu, Hu, Chen, & Campbell, 2021;Xue & Campbell, 2022), a visualization platform (Wang et al, 2021), an introduction to the CGED-Q JSL (Chen, Campbell, Ren, & Lee, 2020) and a dissertation (Chen, 2019). Each analysis brought to light issues with the sources, the transcription process, and linkage procedures that had not arisen previously and required adjustments.…”

Section: Introductionmentioning

confidence: 99%

Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)

Campbell

Chen

2022

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We introduce our approach to the nominative linkage of records of Qing officials who were included in the China Government Employee Datasets-Qing (CGED-Q) Jinshenlu (JSL) and Examination Records (ER). We constructed these datasets by transcription of quarterly rosters of civil and military officials produced by the government and by commercial presses, and records of examination degree holders. We assess each of the primary attributes available in the original sources in terms of their usefulness for disambiguation, focusing on their diversity and potential for inconsistent recording. For officials who were not affiliated with the Eight Banners, these primary attributes include surname, given name, and province and county of origin. For the small subset of officials who were affiliated with the Bannermen, we assess the available data separately. We also assess secondary attributes available in the data that may be useful for adjudicating candidate matches. We then describe the approach that we developed that addresses the issues we identified with the primary and secondary attributes. The issues we have identified and the approach that we have developed will be of interest to researchers engaged in similar efforts to construct and link datasets based on elite males in historical China.

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Origins and career patterns of the qing government officials (1850-1912) : evidence from the China Government Employee Dataset-Qing (CGED-Q)

Cited by 4 publications

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Historical Chinese Microdata. 40 Years of Dataset Construction by the Lee-Campbell Research Group

Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)

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